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Towards the development of sustainable concrete incorporating waste tyre rubbers
The dramatic increase in the demand for vehicle tyres and consequently the rapid rise in associated waste rubber has been a concern for several decades. Rubber disposal has adverse effects on the environment, human health and...
Cost and carbon efficiency Long-term performance Reusing Thermal and sound conductivity Waste tyre rubber /dk/atira/pure/subjectarea/asjc/2100/2105 name=Renewable Energy, Sustainability and the Environment /dk/atira/pure/subjectarea/asjc/2300/2300 name=General Environmental Science /dk/atira/pure/subjectarea/asjc/1400/1408 name=Strategy and Management /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being name=SDG 3 - Good Health and Well-being /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
Towards the development of sustainable concrete incorporating waste tyre rubbers
The dramatic increase in the demand for vehicle tyres and consequently the rapid rise in associated waste rubber has been a concern for several decades. Rubber disposal has adverse effects on the environment, human health and...
Cost and carbon efficiency Long-term performance Reusing Thermal and sound conductivity Waste tyre rubber /dk/atira/pure/subjectarea/asjc/2100/2105 name=Renewable Energy, Sustainability and the Environment /dk/atira/pure/subjectarea/asjc/2300/2300 name=General Environmental Science /dk/atira/pure/subjectarea/asjc/1400/1408 name=Strategy and Management /dk/atira/pure/subjectarea/asjc/2200/2209 name=Industrial and Manufacturing Engineering /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being name=SDG 3 - Good Health and Well-being /dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy name=SDG 7 - Affordable and Clean Energy
A state of the art of required techniques for employing activated carbon in renewable energy powered adsorption applications
Ahmed M. Elsayed, Ahmed A. Askalany, Andrew D. Shea, Hassan J. Dakkama, Saad Mahmoud, Raya Al-Dadah, Waseem Kaialy
Nov 01, 2017
This paper reviews, for the first time, the measurement adsorption characteristics techniques to facilitate optimal testing of the validity of adsorbent materials in adsorption applications. Thermo-physical properties...
A state of the art of required techniques for employing activated carbon in renewable energy powered adsorption applications
Ahmed M. Elsayed, Ahmed A. Askalany, Andrew D. Shea, Hassan J. Dakkama, Saad Mahmoud, Raya Al-Dadah, Waseem Kaialy
Nov 01, 2017
This paper reviews, for the first time, the measurement adsorption characteristics techniques to facilitate optimal testing of the validity of adsorbent materials in adsorption applications. Thermo-physical properties...
Synergistic Effect of Sophora japonica and Glycyrrhiza glabra Flavonoid-Rich Fractions on Wound Healing
Transient Noise Reduction Using a Deep Recurrent Neural Network
A deep recurrent neural network (RNN) for reducing transient sounds was developed and its effects on subjective speech intelligibility and listening comfort were investigated. The RNN was trained using sentences spoken with...
Augmented Context-Based Conceptual User Modeling for Personalized Recommendation System in Online Social Networks
As the data on the online social networks is getting larger, it is important to build personalized recommendation systems that recommend suitable content to users, there has been much research in this field that uses conceptual...
Published by: IGI Global Scientific Publishing
Metal-Bound Methisazone; Novel Drugs Targeting Prophylaxis and Treatment of SARS-CoV-2, a Molecular Docking Study.
Ahmed Abdelaal Ahmed Mahmoud M Alkhatip, Michail Georgakis, Lucio R Montero Valenzuela, Mohamed Hamza, Ehab Farag, Jaqui Hodgkinson, Hisham Hosny, Ahmed M Kamal, Mohamed Wagih, Amr Naguib, Hany Yassin, Haytham Algameel, Mohamed Elayashy, Mohamed Abdelhaq, Mohamed I Younis, Hassan Mohamed, Mohammed Abdulshafi, Mohamed A Elramely
Mar 16, 2021
SARS-CoV-2 currently lacks effective first-line drug treatment. We present promising data from in silico docking studies of new Methisazone compounds (modified with calcium, Ca; iron, Fe; magnesium, Mg; manganese, Mn; or zinc...
covid-19 SARS-CoV-2 Molecular docking prophylaxis Treatment Antiviral Agents Calcium Coronavirus 3C Proteases Coronavirus Papain-Like Proteases Coronavirus RNA-Dependent RNA Polymerase Drug Design Humans Iron Magnesium manganese Metals Methisazone Models Molecular Molecular Docking Simulation Molecular Dynamics Simulation Protein Binding SARS-CoV-2 Spike Glycoprotein Coronavirus Zinc COVID-19 Drug Treatment
Development of an Automated Pain Facial Expression Detection System for Sheep (Ovis Aries).
The use of technology to optimize the production and management of each individual animal is becoming key to good farming. There is a need for the real-time systematic detection and control of disease in animals in order to...
Evaluation of a multi-channel algorithm for reducing transient sounds.
Hearing aid acoustic annoyance multi-channel analysis preference judgement transient noise reduction Acoustic Stimulation Algorithms Audiometry Speech Auditory Threshold Correction of Hearing Impairment Hearing Hearing Aids Hearing Loss Humans Irritable Mood Noise Patient Preference Perceptual Masking Persons With Hearing Impairments Signal Processing Computer-Assisted Speech Perception
Economic support during the COVID crisis. Quantitative easing and lending support schemes in the UK
We investigate how UK bank business lending responded to the simultaneous use of quantitative easing, leverage ratio capital requirements, and government COVID lending support schemes. We find no evidence that the Brexit wave...
Blockchain in Healthcare
Blockchain, an immutable ledger or database shared by peers in a network, is comprised of records of events or transactions that are appended chronologically. Introduced via Bitcoin to the world, blockchain is increasingly being...
Published by: IGI Global Scientific Publishing
High-throughput surface marker screen on primary human breast tissues reveals further cellular heterogeneity.
BACKGROUND: Normal human breast tissues are a heterogeneous mix of epithelial and stromal subtypes in different cell states. Delineating the spectrum of cellular heterogeneity will provide new insights into normal cellular...
Imputation versus prediction
Benedict W J Irwin, Samar Mahmoud, Thomas M Whitehead, Gareth J Conduit, Matthew D Segall
Apr 06, 2020
Imputation is a powerful statistical method that is distinct from the predictive modelling techniques more commonly used in drug discovery. Imputation uses sparse experimental data in an incomplete dataset to predict missing...
Resonance Frequency Selective Electromagnetic Actuation for High-Resolution Vibrotactile Displays
Vibrotactile displays offer significant potential for conveying information through the sense of touch in a wide variety of applications. Spatial resolution of these displays is limited by the large size of actuators. We present...
The impact of quantitative easing on UK bank lending
The growing proportion of UK bank lending to the financial sector reached a peak in 2007 just before the onset of the Global Financial Crisis (GFC). This marks a trend in the dwindling amount of bank lending to private sector...
Agent-based modelling Capital adequacy requirements Gilt yields Monetary policy Quantitative easing: bank lending Risk weighted assets /dk/atira/pure/subjectarea/asjc/2000/2002 name=Economics and Econometrics /dk/atira/pure/subjectarea/asjc/1400/1407 name=Organizational Behavior and Human Resource Management /dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growth name=SDG 8 - Decent Work and Economic Growth /dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructure name=SDG 9 - Industry, Innovation, and Infrastructure
Segmentation of Brain Tumors Using Three-Dimensional Convolutional Neural Network on MRI Images 3D MedImg-CNN
We consider the problem of fully automatic brain tumor segmentation in MR images containing glioblastomas. We propose a three Dimensional Convolutional Neural Network (3D MedImg-CNN) approach which achieves high performance...
Published by: IGI Global Scientific Publishing
Multi-Pattern GPU Accelerated Collision-Less Rabin-Karp for NIDS
In the domain of network communication, network intrusion detection systems (NIDS) play a crucial role in maintaining security by identifying potential threats. NIDS relies on packet inspection, often using rule-based databases...
Published by: IGI Global Scientific Publishing
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